Suspension Strain Correlation Using Flex Bodies in MBD

Kangde, Suhas; Shitole, Vishal; Sahu, Ashish Kumar

doi:10.4271/2014-01-0763

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…FEA and experimental rotor displacement results have been compared to evaluate the fidelity of rotor finite element models [10]. Finite element based strain correlation could be achieved with more than 95% accuracy in automotive metal components, even for complex geometries and dynamic loading [55]. If the FEA stresses are accurate, the fatigue life could also be calculated with a close approximation to experimental fatigue life [56]- [60].…”

Section: Discussionmentioning

confidence: 99%

Rotor Fatigue Life Calculation Using Constant-Amplitude Load Cycles for an Interior Permanent Magnet Synchronous Motor

Kumar Sahu,

Haddad,

Al-Ani

et al. 2024

IEEE Access

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Interior Permanent Magnet Synchronous Motors (IPMSM) are widely used as traction motors today because they can deliver high torque at low speeds, and high efficiency at low-and medium-speed ranges. Air flux barriers and bridges of an IPMSM have contradictory electromagnetic and structural requirements. The rotor undergoes a fluctuating load due to varying speeds in a drive cycle. Designing the rotor with the yield strength as a design criterion might not be sufficient. Fatigue life should be evaluated considering the mean value and amplitude of the fluctuating load profile, and the acceptance criteria should be derived based on field operations. This paper proposes a constant amplitude load cycle as an accelerated fatigue analysis approach for an IPMSM rotor and presents a fatigue analysis workflow considering the thermal and mechanical loads. It also presents the loads and boundary conditions for rotor stress analysis and the effect of elastic and elastic-plastic material properties on stress calculation.

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Section: Discussionmentioning

confidence: 99%

Rotor Fatigue Life Calculation Using Constant-Amplitude Load Cycles for an Interior Permanent Magnet Synchronous Motor

Kumar Sahu,

Haddad,

Al-Ani

et al. 2024

IEEE Access

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“…In their methodology, the accuracy of fatigue loading of automotive components depends on the external loads obtained by multibody dynamic simulation. However, with accurate external loads, signi cant error of fatigue loading cannot be eliminated, because of high correlation between them and inevitable error in nite element transient analysis [5,15,16]. erefore, the aforementioned improved methods have limited ability to enhance the accuracy of fatigue loading.…”

Section: Introductionmentioning

confidence: 99%

Application of a Recurrent Neural Network and Simplified Semianalytical Method for Continuous Strain Histories Estimation

Luo

Huang

Xiong

2019

Shock and Vibration

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The durability and reliability of structural components are usually assessed based on fatigue loading under operating conditions. To obtain accurate fatigue loading in the form of continuous strain histories, a novel approach is proposed based on the combination of a recurrent neural network and simplified semianalytical method. The recurrent neural network named nonlinear autoregressive model with exogenous inputs (NLARX) is applied to determine the relationship between external loads and corresponding fatigue loading. Owing to the generalization ability of NLARX, semianalytical method, which is used to obtain sample database for NLARX model training and testing, is implemented with simplified multibody model. Durability tests of a torsion beam rear suspension are introduced to demonstrate the effectiveness of the proposed approach. The experimental results show that our proposed approach is able to achieve better estimation results, when compared with the conventional semianalytical method.

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